Proper intelligence and selection of clinical trial sites capable of meeting enrollment goals is essential for new studies. With the Dataiku Clinical Site Intelligence Solution, clinical trial planning and operations teams leverage clinicaltrials.gov and more data sources to develop ML-fuelled analytics on clinical sites activities. They easily uncover similar and/or competitive studies as well as clinical trial sites leveraged, run site reviews, identify selections in novel studies, and get access to sponsor overviews to guide data-driven decision making.
Query the clinicaltrials.gov database for historical and active clinical trials. Build streamlined data flows through REST API and initiate data ETL to build site intelligence through an integrated Dataiku Application.
Address inherent quality issues by harmonizing data such as clinical site IDs MeSH terms. Get deeper clinical site analytics with feature engineering and ML for enrollment rate predictions and study similarity indexing.
Get comprehensive sponsor insights on studies and associated clinical sites and create a dashboard that combines competitive intelligence of site utilization by competing sponsors. Make even deeper connections with Social Determinants of Health (SDoH) by including US Census and CDC data to inform sites that support diverse enrollment.
Use a dynamic web application to enter a novel study synopsis from your clinical planning or feasibility team to clinicaltrials.gov, or choose similar studies and their sites, then review comprehensive analytics dashboards.
Use ML models for study enrollment rate prediction and find similarities based on existing protocols or novel study synopses. Find sites with similar conditions or participation criteria, and filter for further analysis.
Study comprehensive analytics, community social measures (US only), and historical activity for individual sites leveraged in relevant selected similar studies.
With the Dataiku Clinical Site Intelligence Solution, answer a broad range of questions like:
Adopt a data driven approach to Clinical Sites Selection and revisit your trials practices. Enrich with more data sources, easily develop new ML-enriched analytics, and embark on a full journey to enhancing your key processes with AI.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.